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Spatially resolved heat transfer measurements of impinging jets on statistically rough surfaces using an infrared-based gradient sensor

Häber, T. ORCID iD icon 1; Moosmayer, Sebastian 2; Raiola, Marco; Gatti, D. ORCID iD icon 3; Trimis, D. 2; Suntz, R. 4; Frohnapfel, B. ORCID iD icon 3
1 Institut für Katalyseforschung und -technologie (IKFT), Karlsruher Institut für Technologie (KIT)
2 Engler-Bunte-Institut (EBI), Karlsruher Institut für Technologie (KIT)
3 Institut für Strömungsmechanik (ISTM), Karlsruher Institut für Technologie (KIT)
4 Institut für Technische Chemie und Polymerchemie (ITCP), Karlsruher Institut für Technologie (KIT)

Abstract:

Heat-transfer measurements of jets impinging on rough surfaces are scarce because conventional heated‑thin-foil methods confine high‑resolution measurements to smooth walls. This study presents an infrared‑thermography‑based gradient sensor that enables spatially resolved wall‑heat‑flux measurements on thermally thick plates with embedded, statistically homogeneous roughness. The method is validated against direct numerical simulation and established smooth‑wall datasets for Reynolds numbers in the range $5000 \leq Re \leq 30000$ and nozzle-to-plate distances in the range $2 \leq H/D \leq 5$, showing good accuracy and repeatability. Using two roughness scales ($k_{99}/D = 0.04$ and 0.12), we provide the first systematic dataset of local Nusselt‑number distributions for turbulent impinging jets on rough surfaces at Reynolds numbers relevant for practical applications. Roughness is shown to have little effect at low $Re$, but a pronounced heat‑transfer enhancement appears once a combined threshold in roughness height and Reynolds number is exceeded. For the larger roughness, strong augmentation is already observed for $Re \geq 10000$, especially near $r/D \approx 1$ where wall‑jet shear is highest. ... mehr


Zugehörige Institution(en) am KIT Engler-Bunte-Institut (EBI)
Institut für Katalyseforschung und -technologie (IKFT)
Institut für Strömungsmechanik (ISTM)
Institut für Technische Chemie und Polymerchemie (ITCP)
Publikationstyp Forschungsdaten
Publikationsdatum 03.07.2026
Erstellungsdatum 30.03.2026
Identifikator DOI: 10.35097/ddps6jb4tradbn97
KITopen-ID: 1000194918
HGF-Programm 38.03.04 (POF IV, LK 01) Technical Fuel Assessment
Lizenz Creative Commons Namensnennung 4.0 International
Projektinformation SFB/TRR 150/3, 237267381 (DFG, DFG KOORD, TRR 150/3 2023)
Schlagwörter Turbulent impinging jet, Infrared thermography, Gradient heat‑flux sensor, Surface roughness, Nusselt number distribution
Liesmich

The research data provided includes both the processed data itself and Python scripts for reproducing the figures included in the corresponding manuscript. The “Readme.md” file explains the requirements for running the Python scripts. The scripts are numbered to correspond to the figures in the manuscript.

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